path: "tensorflow.estimator.export.EvalOutput"
tf_class {
  is_instance: "<class \'tensorflow.python.saved_model.model_utils.export_output.EvalOutput\'>"
  is_instance: "<class \'tensorflow.python.saved_model.model_utils.export_output._SupervisedOutput\'>"
  is_instance: "<class \'tensorflow.python.saved_model.model_utils.export_output.ExportOutput\'>"
  is_instance: "<type \'object\'>"
  member {
    name: "LOSS_NAME"
    mtype: "<type \'str\'>"
  }
  member {
    name: "METRICS_NAME"
    mtype: "<type \'str\'>"
  }
  member {
    name: "METRIC_UPDATE_SUFFIX"
    mtype: "<type \'str\'>"
  }
  member {
    name: "METRIC_VALUE_SUFFIX"
    mtype: "<type \'str\'>"
  }
  member {
    name: "PREDICTIONS_NAME"
    mtype: "<type \'str\'>"
  }
  member {
    name: "loss"
    mtype: "<type \'property\'>"
  }
  member {
    name: "metrics"
    mtype: "<type \'property\'>"
  }
  member {
    name: "predictions"
    mtype: "<type \'property\'>"
  }
  member_method {
    name: "__init__"
    argspec: "args=[\'self\', \'loss\', \'predictions\', \'metrics\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "as_signature_def"
    argspec: "args=[\'self\', \'receiver_tensors\'], varargs=None, keywords=None, defaults=None"
  }
}
